This book contains the proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS 2014), which was sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI), IEICE Special Interest Group on Software Interprise Modelling (SWIM), ACM SIGART - ACM Special Interest Group on Artificial Intelligence, ACM SIGMIS - ACM Special Interest Group on Management Information Systems, ACM SIGCHI - ACM Special Interest Group on Computer Human Interaction and in collaboration with the Informatics Research Center (IRC). This year ICEIS was held in Lisbon, Portugal.
The purpose of the 16th International Conference on Enterprise Information Systems is to bring together researchers, engineers and practitioners from the areas of â Databases and Information Systems Integrationâ , â Artificial Intelligence and Decision Support Systemsâ , â Information Systems Analysis and Specificationâ , â Software Agents and Internet Computingâ , â Human-Computer Interactionâ and â Enterprise Architectureâ , interested in the advances and business applications of information systems.
ICEIS 2014 received 313 paper submissions from 50 countries in all continents, which demonstrates the success and global dimension of this conference. From these, 47 papers were published and presented as full papers (30min oral presentation), 82 papers reflecting work-in-progress were accepted for short presentation and another 82 papers were presented in a poster session. These numbers, leading to a full-paper acceptance ratio of 15% and an oral paper acceptance ratio of 41%, show the intention of preserving a high quality forum for the next editions of this conference.
The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.
All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.
Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2014 Selected Papers to be published by Springer in the LNBIP Series.
The technical program of the conference included a panel and 5 invited talks delivered by internationally distinguished speakers, namely: Kecheng Liu (University of Reading, United Kingdom), Jan Dietz (Delft University of Technology, The Netherlands), Antoni Olivé (Universitat Politècnica de Catalunya, Spain), José Tribolet (INESC-ID/Instituto Superior Técnico, Portugal) and Hans-J. Lenz (Freie Universitat Berlin, Germany). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.
Moreover, ICEIS 2014 had a special session on Information Systems Security, a satellite workshop on Security in Information Systems and a Doctoral Consortium on Enterprise Information Systems. We are thankful to the chairs for their dedication and hard work in organizing these events.
We sincerely thank all the authors for their submissions and participation in ICEIS 2014. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2014 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2014 team for all organizational processes.
We hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next ICEIS, to be held in Barcelona.
What Are the Factors Affecting ERP System Integration?
The first wave of Enterprise Resource Planning (ERP) systems integrated the core internal business and provided operational benefits for companies. The second wave of ERPs introduced additional challenges due to the need for ERPs to interact also with ...
Specifying Complex Correspondences Between Relational Schemas in a Data Integration Environment
When dealing with the data integration problem, the designer usually encounters incompatible data models characterized by differences in structure and semantics, even in the context of a same organization. In this work, we propose a declarative and ...
Business Information System for the Control of Workforce Through Behaviour Monitoring Using Reactive and Terminal-based Mobile Location Technologies
This paper analyzes the viability of the use of employeesâ smartphones following the BYOD paradigm as a valid tool for companies in order to conduct presence control (primarily for remote workforce). A Mobile Information System is also proposed for ...
The Manufacturing Knowledge Repository
The manufacturing industry is faced with strong competition making the companiesâ knowledge resources and their systematic management a critical success factor. Yet, existing concepts for the management of process knowledge in manufacturing are ...
Efficient and Distributed DBScan Algorithm Using MapReduce to Detect Density Areas on Traffic Data
- Ticiana L. Coelho da Silva,
- Antônio C. Araújo Neto,
- Regis Pires Magalhães,
- Victor A. E. de Farias,
- José A. F. de Macêdo,
- Javam C. Machado
Trafï c information in big cities can be collected by GPS in vehicles or trafï c radar, or even gathered from
tweets. This information can be used to complement information generated by cameras and physical sensors in order to guide the actions of ...
TrieMotif
Finding previously unknown patterns that occur frequently on a time series is a core task of mining time series. These patterns are known as time series motifs and are the main blocks to associate events and meaningful occurrences within the time ...
Preserving the Original Query Semantics in Routing Processes
In distributed data environments, peers (data sources) are connected with each other through a set of correspondences in such a way that peers directly connected are called semantic neighbours. Queries are submitted considering partial information ...
Quality Indices in Medical Alert Systems
Numerous alert systems exist in healthcare domains but most of them produce too much false alerts, bad
usage or disinterest. The need of better alert systems leads to develop context-aware alert systems. The alert
system Tempas is a help-decision tool ...
A Proposal to Maintain the Semantic Balance in Cluster-based Data Integration Systems
With the large volume of data sources on the Web, we need a system that integrates them, so that the user can query them transparently. For efficiency in queries, integration systems can group these sources in clusters according to the semantic ...
A Framework for the Discovery of Predictive Fix-time Models
Fix-time prediction is a key task in bug tracking systems, which has been attracting the attention of data-mining researchers.
However, traditional approaches only try to estimate the overall fix-time of a bug at the moment when it is initially reported,...
Multi-domain Schema Clustering and Hierarchical Mediated Schema Generation
A data integration system is used to offer a uniform interface to multiple data sources. Previous researches have present various data integration techniques, but nearly all of them require the schemas of different data sources to be integrated belong ...
The Organisational Impact of Implementing Integrated IS in HE Institutions
This paper explores the implementation process of integrated Information Systems (IS) in Higher Education (HE) institutions. This is achieved through the analysis of a HE institutionâ s strategy during the implementation process of the integrated IS and ...
Business Process Change in Enterprise Systems Integration
Currently, many organisations have undertaken systems integration with the aim of improving business performance, which inevitably involves an extreme change in all organisational aspects, including Business Processes. The aim of this research is to ...
Architectural Key Dimensions for a Successful Electronic Health Record Implementation
The availability of patient clinical data can be vital to a more effective diagnosis and treatment, by an healthcare professional. This information should be accessible regardless of context, place, time or where it was collected. In order to share this ...
Evaluation of Exclusive Data Allocation Between SSD Tier and SSD Cache in Storage Systems
We proposed and evaluated the storage I/O response time with the exclusive allocation method between SSD for tiered volume and SSD for cache in the storage system utilizing SSD and HDD. In the proposed method, the SSD cache function with exclusive ...
DG-Query: An XQuery-based Decision Guidance Query Language
Decision optimization is desired in many strategic business decisions such as those for finding the best production planning in manufacturing. An optimization model may indicate the total cost of a certain supply chain given the various sourcing and ...
Paired Indices for Clustering Evaluation
In the present paper we focus on the performance of clustering algorithms recurring to indices of paired agreement to measure the accordance between clusters and an a priori known structure. We specifically propose a method to correct all indices ...
Exploring Data Fusion under the Image Retrieval Domain
Advanced services in data compression, data storage, and data transmission have been developed and are widely used to address the required capabilities of an assortment of systems across diverse application domains. In order to reuse, integrate, unify, ...
Cloud Computing
Cloud computing is currently a very attractive environment for IT service provision. The use of virtualization on this architecture has allowed greater flexibility and rationalization of IT infrastructure. Recently, many legacy Relational Database ...
A Pattern-based Approach for Semantic Retrieval of Information Resources in Enterprises
Information-resource retrieval in enterprises is becoming a major concern nowadays because of the importance of business information in supporting the satisfaction of business objectives. To enhance resource retrieval in enterprises, this paper argues ...
Performance Tuning of Object-Oriented Applications in Distributed Information Systems
Most global information systems are constructed from a number of heterogeneous distributed databases taken
from the source schema side to form an integrated object-oriented view of the data from the users point of
view. This means that each distributed ...
A Data Analysis Framework for High-variety Product Lines in the Industrial Manufacturing Domain
Industrial manufacturing companies produce a variety of different products, which, despite their differences in function and application area, share common requirements regarding quality assurance and data analysis. The goal of the approach presented in ...
Approximate String Matching Techniques
Data quality is a key to success for all kinds of businesses that have information applications involved, such as data integration for data warehouses, text and web mining, information retrieval, search engine for web applications, etc. In such ...
The SITSMining Framework
- Bruno F. Amaral,
- Daniel Y. T. Chino,
- Luciana A. S. Romani,
- Renata R. V. Gonçalves,
- Agma J. M. Traina,
- Elaine P. M. Sousa
The amount of data generated and stored in many domains has increased in the last years. In remote sensing, this scenario of bursting data is not different. As the volume of satellite images stored in databases grows, the demand for computational ...
Customer Churn Prediction in Mobile Operator Using Combined Model
Data Mining technologies are developing very rapidly nowadays. One of the biggest fields of application of data mining is prediction of churn in service provider companies. Customers who switch to another service provider are called churned customers. ...
Workflow Model for Management of Ontology of Homecare Pervasive Systems
Pervasive computing applied to healthcare is seen nowadays as an alternative to the overcrowding in hospitals. The implementation proactive applications improve the services offered, helping to speed the flow of treatment of patients. We present in this ...
External Database Extension Framework
Database systems nowadays show an incredible amount of extensibility interfaces, ranging
from simple user defined functions to extensible indexing frameworks as seen in e. g. DB2 and
Oracle. Approaching new projects using these interfaces definitely is ...
Application-Mimes
Due to the rise of NoSQL systems over the last years, the world of commercially applicable database systems has become much larger and heterogeneous than it was ever before. But the opportunities that are associated with the upcoming systems have also ...
Generative Modeling of Itemset Sequences Derived from Real Databases
The increasingly studied problem of discovering temporal and attribute dependencies from multi-sets of events derived from real-world databases can be mapped as a sequential pattern mining task over itemset sequences. Still, the length and local nature ...
Multi-dimensional Pattern Mining
Huge amounts of data are continuously being generated in the healthcare system. A correct and careful analysis of these data may bring huge benefits to all people and processes involved in the healthcare management.
However, the characteristics of ...
Index Terms
- Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1